BACKGROUND: Health care is the fastest growing occupational sector in the United States, but students from low-income and underrepresented minority (URM) backgrounds often lack mentorship and basic information about health care careers and pathways. OBJECTIVES: We developed the Career 911 massive open online course (MOOC) to help students from diverse backgrounds to explore and build career portfolios to enter health-related professions. METHODS: We describe the evolution since 2014 of the Career 911 MOOC and lessons learned.Results/Lessons Learned: More than20,000 students have enrolled in Career 911. Career 911 has served as a learning resource for schools and health care pipeline programs. Key lessons learned include cultivating strategic partnerships and networks, using community engagement efforts to counter technology's potential to exacerbate educational disparities, minimizing disruptions from changes to technology, and optimizing data for program evaluation. CONCLUSIONS: Lessons learned on community engagement to develop a MOOC, and anticipating technology-related challenges and program evaluation needs can guide future work to leverage MOOCs and other digital learning technologies for scaling health care workforce development.
BACKGROUND: Health care is the fastest growing occupational sector in the United States, but students from low-income and underrepresented minority (URM) backgrounds often lack mentorship and basic information about health care careers and pathways. OBJECTIVES: We developed the Career 911 massive open online course (MOOC) to help students from diverse backgrounds to explore and build career portfolios to enter health-related professions. METHODS: We describe the evolution since 2014 of the Career 911 MOOC and lessons learned.Results/Lessons Learned: More than20,000 students have enrolled in Career 911. Career 911 has served as a learning resource for schools and health care pipeline programs. Key lessons learned include cultivating strategic partnerships and networks, using community engagement efforts to counter technology's potential to exacerbate educational disparities, minimizing disruptions from changes to technology, and optimizing data for program evaluation. CONCLUSIONS:Lessons learned on community engagement to develop a MOOC, and anticipating technology-related challenges and program evaluation needs can guide future work to leverage MOOCs and other digital learning technologies for scaling health care workforce development.
Authors: Curtiland Deville; Wei-Ting Hwang; Ramon Burgos; Christina H Chapman; Stefan Both; Charles R Thomas Journal: JAMA Intern Med Date: 2015-10 Impact factor: 21.873